Reinder Vos de Wael

The paper examines macro-scale brain activity patterns during wakeful rest, linking them to personality traits and ongoing thoughts by analyzing interactions between brain networks.

This study creates normative brain growth charts for rhesus macaques across their lifespan using MRI data, revealing developmental milestones and cross-species comparisons with humans.

The paper uses variograms to show that function changes more rapidly in association cortex than in sensory and motor cortex, linked to intracortical myelin levels.

The paper investigates assortative mixing in brain connectomes by analyzing how micro-architectural attributes influence macroscale connectivity across species.

This study identifies atypical intrinsic neural timescales in temporal lobe epilepsy, showing reduced timescales in multiple brain regions and high accuracy in classifying patients and lateralizing seizure foci.

The paper characterizes weighted structural brain networks using white matter microstructural features to improve structure-function models.

This study examines the heritability of hippocampal functional and microstructural organisation in healthy adults using twin data and multimodal neuroimaging.

The paper shares a multimodal MRI dataset for studying multiscale brain organization, including connectomes and gradients from multiple imaging modalities.

Micapipe is an open pipeline for processing multimodal MRI data, generating structural and functional connectomes, geodesic distances, and microstructural profiles across multiple brain parcellations and surface spaces.

This paper predicts brain function from the structural connectome using a Riemannian approach based on diffusion maps and random walks, showing performance plateaus around the third walk.

The paper examines how genetic and phylogenetic factors influence structure-function coupling in the human transmodal cortex and finds reduced genetic control in regions linked to social cognition and memory.

This study identifies a structure-function substrate of cognitive imbalances in autism using multi-site neuroimaging data and dimensional analysis.

The paper investigates how mind-wandering during reading affects neural coupling between the default mode network and visual regions, showing that decoupling impairs comprehension.

BrainStat provides a toolbox for statistical analysis and feature association in neuroimaging data, integrating multiple modalities and templates to enhance cross-modal research.

The paper investigates how long-range brain connections relate to microarchitectural and cognitive hierarchies in the human brain, finding that transmodal association cortices have distributed long-range connections linked to similar microarchitecture.

This study identifies hemispheric differences in a principal gradient of brain connectivity and links these differences to semantic cognition and visual reasoning.

The paper examines how cortico-cortical networks mediate localized and global communication by analyzing the functional connectivity of unimodal and multimodal brain regions across multiple scales.

The paper introduces the ENIGMA Toolbox, a Python/Matlab ecosystem for integrating multisite neuroimaging datasets across disorders and contextualizing findings at multiple scales.

This study quantifies how population diversity affects brain-imaging prediction accuracy and pattern stability using two clinical cohorts.

The paper uses manifold learning to analyze longitudinal structural connectome data, showing expansion in transmodal regions during adolescence and linking it to cognitive outcomes.

The paper introduces a new spatial memory task and shows its correlation with structural and functional brain differences in temporal cortices.

This study identifies higher functional network idiosyncrasy in ASD compared to TD, linked to ASD risk genes and symptom severity.

The paper identifies two topographic gradients of intrinsic brain dynamics across the neocortex, linked to cognitive and functional processing patterns.

The paper identifies three structural connectivity gradients in the human temporal lobe and links them to microstructural features and macroscale functional measures.

The paper identifies functional activation patterns during pattern separation in the hippocampus and neocortex, showing alignment with intrinsic connectivity gradients and performance differences in patients.

BrainSpace provides a toolbox for analyzing macroscale gradients in neuroimaging and connectomics data, enabling gradient identification, alignment, visualization, and association studies.

The paper identifies a molecular gradient along the human hippocampus's longitudinal axis that correlates with distinct brain systems and behavioral functions.

This study identifies functional connectivity contractions in temporal lobe epilepsy, linked to microstructural white matter changes and predictive of surgical outcomes.

The paper introduces a novel coordinate system for the human cortex based on connectivity, validated across multiple datasets and showing alignment with functional and structural features.

The paper investigates age-related changes in cortical myeloarchitecture during adolescence using longitudinal MRI data and identifies two distinct developmental processes.